title: Estimating the incidence reporting rates of new influenza pandemics at an early stage using travel data from the source country.
abstract: During the surveillance of influenza pandemics, underreported data are a public health challenge that complicates the understanding of pandemic threats and can undermine mitigation efforts. We propose a method to estimate incidence reporting rates at early stages of new influenza pandemics using 2009 pandemic H1N1 as an example. Routine surveillance data and statistics of travellers arriving from Mexico were used. Our method incorporates changes in reporting rates such as linearly increasing trends due to the enhanced surveillance. From our results, the reporting rate was estimated at 0·46% during early stages of the pandemic in Mexico. We estimated cumulative incidence in the Mexican population to be 0·7% compared to 0·003% reported by officials in Mexico at the end of April. This method could be useful in estimation of actual cases during new influenza pandemics for policy makers to better determine appropriate control measures.
authors.affiliation: Division of Biostatistics, Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong SAR, China.
authors.forename: K C
authors.initials: KC
authors.lastname: Chong
authors.affiliation: Center for Global Public Health, University of California, Berkeley, CA, USA.
authors.forename: H F
authors.initials: HF
authors.lastname: Fong
authors.affiliation: Division of Biostatistics, Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong SAR, China.
authors.forename: C Y
authors.initials: CY
authors.lastname: Zee
mesh_terms: D004812:Epidemiologic Methods; D006801:Humans; D053118:Influenza A Virus, H1N1 Subtype; D007251:Influenza, Human / Q000453:epidemiology*; D008800:Mexico / Q000453:epidemiology; D008954:Models, Biological; D058873:Pandemics / Q000706:statistics & numerical data*; D014195:Travel / Q000706:statistics & numerical data*